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Chris Burges
List of publications from the DBLP Bibliography Server - FAQ
2008 | ||
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35 | Krysta Marie Svore, Lucy Vanderwende, Christopher J. C. Burges: Using Signals of Human Interest to Enhance Single-document Summarization. AAAI 2008: 1577-1580 | |
2007 | ||
34 | EE | Krysta Marie Svore, Qiang Wu, Chris Burges, Aaswath Raman: Improving Web Spam Classification using Rank-time Features. AIRWeb 2007 |
33 | EE | Dengyong Zhou, Chris Burges, Tao Tao: Transductive Link Spam Detection. AIRWeb 2007 |
32 | EE | Dengyong Zhou, Christopher J. C. Burges: Spectral clustering and transductive learning with multiple views. ICML 2007: 1159-1166 |
31 | EE | Ping Li, Christopher J. C. Burges, Qiang Wu: McRank: Learning to Rank Using Multiple Classification and Gradient Boosting. NIPS 2007 |
30 | EE | Eugene Agichtein, Chris Burges, Eric Brill: Question Answering over Implicitly Structured Web Content. Web Intelligence 2007: 18-25 |
2006 | ||
29 | EE | Michael J. Taylor, Hugo Zaragoza, Nick Craswell, Stephen Robertson, Chris Burges: Optimisation methods for ranking functions with multiple parameters. CIKM 2006: 585-593 |
28 | EE | Christopher J. C. Burges, Robert Ragno, Quoc Viet Le: Learning to Rank with Nonsmooth Cost Functions. NIPS 2006: 193-200 |
27 | EE | Irina Matveeva, Chris Burges, Timo Burkard, Andy Laucius, Leon Wong: High accuracy retrieval with multiple nested ranker. SIGIR 2006: 437-444 |
2005 | ||
26 | EE | Christopher J. C. Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, Gregory N. Hullender: Learning to rank using gradient descent. ICML 2005: 89-96 |
25 | EE | Robert Ragno, Christopher J. C. Burges, Cormac Herley: Inferring similarity between music objects with application to playlist generation. Multimedia Information Retrieval 2005: 73-80 |
24 | Christopher J. C. Burges: Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided Tour. The Data Mining and Knowledge Discovery Handbook 2005: 59-92 | |
2004 | ||
23 | EE | Jonathan Goldstein, John C. Platt, Christopher J. C. Burges: Redundant Bit Vectors for Quickly Searching High-Dimensional Regions. Deterministic and Statistical Methods in Machine Learning 2004: 137-158 |
2003 | ||
22 | EE | Christopher J. C. Burges, John C. Platt, Jonathan Goldstein: Identifying audio clips with RARE. ACM Multimedia 2003: 444-445 |
21 | EE | Christopher J. C. Burges: Some Notes on Applied Mathematics for Machine Learning. Advanced Lectures on Machine Learning 2003: 21-40 |
20 | Patrice Y. Simard, Christopher J. C. Burges, David Steinkraus, Henrique S. Malvar: Image compression with on-line and off-line learning. ICIP (2) 2003: 259-262 | |
19 | EE | Christopher J. C. Burges, David J. Crisp: Uniqueness theorems for kernel methods. Neurocomputing 55(1-2): 187-220 (2003) |
2002 | ||
18 | Nello Cristianini, Colin Campbell, Chris Burges: Editorial: Kernel Methods: Current Research and Future Directions. Machine Learning 46(1-3): 5-9 (2002) | |
2001 | ||
17 | EE | Christopher J. C. Burges, Patrice Simard, Henrique S. Malvar: Improving Wavelet Compression with Neural Networks. Data Compression Conference 2001: 486 |
16 | EE | John C. Platt, Christopher J. C. Burges, S. Swenson, C. Weare, A. Zheng: Learning a Gaussian Process Prior for Automatically Generating Music Playlists. NIPS 2001: 1425-1432 |
1999 | ||
15 | EE | Christopher J. C. Burges, David J. Crisp: Uniqueness of the SVM Solution. NIPS 1999: 223-229 |
14 | EE | David J. Crisp, Christopher J. C. Burges: A Geometric Interpretation of v-SVM Classifiers. NIPS 1999: 244-250 |
13 | EE | Bernhard Schölkopf, Sebastian Mika, Christopher J. C. Burges, Phil Knirsch, Klaus-Robert Müller, Gunnar Rätsch, Alexander J. Smola: Input space versus feature space in kernel-based methods. IEEE Transactions on Neural Networks 10(5): 1000-1017 (1999) |
1998 | ||
12 | Bernhard Schölkopf, Alex J. Smola, Phil Knirsch, Chris Burges: Fast Approximation of Support Vector Kernel Expansions, and an Interpretation of Clustering as Approximation in Feature Spaces. DAGM-Symposium 1998: 125-132 | |
11 | Christopher J. C. Burges: A Tutorial on Support Vector Machines for Pattern Recognition. Data Min. Knowl. Discov. 2(2): 121-167 (1998) | |
1996 | ||
10 | Volker Blanz, Bernhard Schölkopf, Heinrich H. Bülthoff, Chris Burges, Vladimir Vapnik, Thomas Vetter: Comparison of View-Based Object Recognition Algorithms Using Realistic 3D Models. ICANN 1996: 251-256 | |
9 | Bernhard Schölkopf, Chris Burges, Vladimir Vapnik: Incorporating Invariances in Support Vector Learning Machines. ICANN 1996: 47-52 | |
8 | Christopher J. C. Burges: Simplified Support Vector Decision Rules. ICML 1996: 71-77 | |
7 | EE | Harris Drucker, Christopher J. C. Burges, Linda Kaufman, Alex J. Smola, Vladimir Vapnik: Support Vector Regression Machines. NIPS 1996: 155-161 |
6 | EE | Christopher J. C. Burges, Bernhard Schölkopf: Improving the Accuracy and Speed of Support Vector Machines. NIPS 1996: 375-381 |
1995 | ||
5 | Bernhard Schölkopf, Chris Burges, Vladimir Vapnik: Extracting Support Data for a Given Task. KDD 1995: 252-257 | |
4 | EE | Yoshua Bengio, Yann LeCun, Craig R. Nohl, Christopher J. C. Burges: LeRec: a NN/HMM hybrid for on-line handwriting recognition. Neural Computation 7(6): 1289-1303 (1995) |
1993 | ||
3 | Christopher J. C. Burges, Jan Ben, John S. Denker, Yann LeCun, Craig R. Nohl: Off Line Recognition of Handwritten Postal Words Using Neural Networks. IJPRAI 7(4): 689-704 (1993) | |
1992 | ||
2 | Ofer Matan, Henry S. Baird, Jane Bromley, Christopher J. C. Burges, John S. Denker, Lawrence D. Jackel, Yann LeCun, Edwin P. D. Pednault, William Satterfield, Charles E. Stenard, Timothy J. Thompson: Reading Handwritten Digits: A ZIP Code Recognition System. IEEE Computer 25(7): 59-63 (1992) | |
1991 | ||
1 | EE | Ofer Matan, Christopher J. C. Burges, Yann LeCun, John S. Denker: Multi-Digit Recognition Using a Space Displacement Neural Network. NIPS 1991: 488-495 |